Social Mechanisms of the Subject Area Formation. The Case of “Digital Economy”
The structure of natural language could be considered a semantic network. This implies the allocation of the speech markers, which describe the subject and semantic areas. In this article, a wide range of texts about the digital economy was analyzed, making it possible to show the thematic structure of this subject area. Central and peripheral concepts were identified to characterize theoretical core concepts and related topics clarifying the application of the digital economy. Identification of the thematic areas was performed in two ways—through the construction of a thematic tree (neural network modeling in the Text Analyst) and the analysis of semantic networks. The results, approaches, and methods of this study could be used during the investigation of the other large thematic fields related to new ideological currents, being developed as an element of social design and management.